Pin numpy to versions below 1.14

[mimischi]

Changes made in this Pull Request:

• Pin numpy to: numpy>=1.8,<1.14. h5py currently throws some ugly errors, when using numpy==1.14. For reference, see FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated h5py/h5py#961 and BUG: issubdtype is inconsistent on types and dtypes numpy/numpy#9505.

That is the error that otherwise shows up everytime mdbenchmark is run:

$ mdbenchmark --version
/home/mischi/.local/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
mdbenchmark, version 1.1.1

PR Checklist

• CHANGELOG updated (added news fragment into changelog directory)?
• [ ] Issue raised/referenced?

[codecov]

Codecov Report

Merging #34 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master      #34   +/-   ##
=======================================
  Coverage   66.25%   66.25%           
=======================================
  Files          10       10           
  Lines         323      323           
=======================================
  Hits          214      214           
  Misses        109      109

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[kain88-de]

Or much better just add a warnings filter. There is no reason to limit the numpy version installable on a system because of a warning that is thrown.

[mimischi]

Closing in favor of #35.